e-con Systems Launches ONVIF-compliant 4K HDR GigE Camera for Smart Vision Applications

e-con Systems, News, Sensors and Cameras /

Reliable Vision Meets Low-Light Excellence California & Chennai (July 9, 2025): e-con Systems®, a global leader in embedded vision solutions, is excited to introduce the ONVIF-compliant 4K HDR GigE Camera – RouteCAM_CU86 – built with the Sony STARVIS 2 IMX678 sensor and engineered to provide exceptional image clarity and reliability even in the most challenging […]

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Edge AI and Vision Insights: July 9, 2025

Edge AI and Vision Alliance, Newsletters /

NEW APPROACHES TO VISION AND MULTIMEDIA AT THE EDGE How Qualcomm Is Powering AI-Driven Multimedia at the Edge In this 2025 Embedded Vision Summit talk, Ning Bi, Vice President of Engineering at Qualcomm Technologies, explores the evolution of multimedia processing at the edge, from simple early use cases such as audio and video processing powered

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Why HDR and LED Flicker Mitigation Are Game-changers for Forward-facing Cameras in ADAS

Automotive, Blog Posts, e-con Systems, Object Identification, Object Tracking, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In ADAS, forward-facing cameras capture traffic signs, signals, and pedestrians at farther distances using a narrow field of view (FOV). This narrower angle enables the camera to focus on distant objects with greater accuracy, making

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Aizip Demonstration of Its Personal Offline AI Assistant for Biking on a Cadence Tensilica HiFi DSP Platform

Cadence, Processors, Summit 2025, Videos /

Nathan Francis, Head of Business Development at Aizip, demonstrates the company’s latest edge AI and vision technologies and products in Cadence’s booth at the 2025 Embedded Vision Summit. Specifically, Francis demonstrates the capabilities of his company’s small language model capable of running on a bike computer. You can’t assume internet connectivity when biking in the

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DeGirum Demonstration of Its PySDK Running on BrainChip Hardware for Real-time Edge AI

Algorithms, BrainChip, DeGirum, Processors, Software, Summit 2025, Tools, Videos /

Stephan Sokolov, Software Engineer at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products in BrainChip’s booth at the 2025 Embedded Vision Summit. Specifically, Sokolov demonstrates the power of real-time AI inference at the edge, running DeGirum’s PySDK application directly on BrainChip hardware. This demo showcases low-latency, high-efficiency performance as a script

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Best-in-class Multimodal RAG: How the Llama 3.2 NeMo Retriever Embedding Model Boosts Pipeline Accuracy

Algorithms, Blog Posts, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Data goes far beyond text—it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. While the common method is to convert PDFs, scanned images, slides, and other documents into text, it

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BrainChip Demonstration of LLM Inference On an FPGA at the Edge using the TENNs Framework

Algorithms, BrainChip, Processors, Software, Summit 2025, Tools, Videos /

Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Manninen demonstrates his company’s large language models (LLMs) running on an FPGA edge device, powered by BrainChip’s proprietary TENNs (Temporal Event-Based Neural Networks) framework. BrainChip enables real-time generative AI

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BrainChip Demonstration of Its Latest Audio AI Models in Action At the Edge

Algorithms, BrainChip, Processors, Software, Summit 2025, Tools, Videos /

Richard Resseguie, Senior Product Manager at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Resseguie demonstrates the company’s latest advancements in edge audio AI. The demo features a suite of models purpose-built for real-world applications including automatic speech recognition, denoising, keyword spotting, and

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Andes Technology Advances High-performance RISC-V Strategy with U.S.-based Design Center: Condor Computing

Andes Technology, News, Processors /

San Jose, CA – July 7, 2025 – Andes Technology (TWSE: 6533; SIN: US03420C2089; ISIN: US03420C1099), the leading supplier of high-efficiency, low-power 32/64-bit RISC-V processor cores and founding premier member of RISC-V International, today announced a major milestone in its U.S. expansion through Condor Computing, a wholly owned subsidiary based in Austin, Texas. Condor Computing was established

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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